Overview

This book is concerned with machine learning algorithms which are applied to text classification. The book is authored by collecting slides about the application of string vector-based machine learning algorithms to text classification; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to text classification and is composed of five sections. The scope of this book is defined as text classification which is defined as the process of assigning a category or some categories to each text, and machine learning algorithms which are modified into string vector-based ones. This book covers the four machine learning algorithms, string vector-based KNN Algorithm, string vector -based Naïve Bayes, string vector -based Learning Vector Quantization, and string vector -based Perceptron, as approaches to text classification.

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